most citedSolar flare forecasting with foundational transformer models across image, video, and time-series modalities

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

astro-ph.IM2025★ 2 cited

Solar flare forecasting with foundational transformer models across image, video, and time-series modalities

S. Riggi, P. Romano, A. Pilzer +1

We present a comparative study of transformer-based architectures for solar flare forecasting using heterogeneous data modalities, including images, video sequences, and time-serie…

astro-ph.IM2025

radio-llava: Advancing Vision-Language Models for Radio Astronomical Source Analysis

S. Riggi, T. Cecconello, A. Pilzer +5

The advent of next-generation radio telescopes is set to transform radio astronomy by producing massive data volumes that challenge traditional processing methods. Deep learning te…

cs.CV2023

RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation

Renato Sortino, Thomas Cecconello, Andrea DeMarco +10

Along with the nearing completion of the Square Kilometre Array (SKA), comes an increasing demand for accurate and reliable automated solutions to extract valuable information from…